text: #
  # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  import logging
  from datetime import date, datetime
  from decimal import Decimal
  
  from flask.json import JSONEncoder
  
  from airflow.utils.timezone import convert_to_utc, is_naive
  
  try:
      import numpy as np
  except ImportError:
      np = None  # type: ignore
  
  try:
      from kubernetes.client import models as k8s
  except ImportError:
      k8s = None
  
  # Dates and JSON encoding/decoding
  
  log = logging.getLogger(__name__)
  
  
  class AirflowJsonEncoder(JSONEncoder):
      """Custom Airflow json encoder implementation."""
  
      def __init__(self, *args, **kwargs):
          super().__init__(*args, **kwargs)
          self.default = self._default
  
      @staticmethod
      def _default(obj):
          """Convert dates and numpy objects in a json serializable format."""
          if isinstance(obj, datetime):
              if is_naive(obj):
                  obj = convert_to_utc(obj)
              return obj.isoformat()
          elif isinstance(obj, date):
              return obj.strftime('%Y-%m-%d')
          elif isinstance(obj, Decimal):
              _, _, exponent = obj.as_tuple()
              if exponent >= 0:  # No digits after the decimal point.
                  return int(obj)
              # Technically lossy due to floating point errors, but the best we
              # can do without implementing a custom encode function.
              return float(obj)
          elif np is not None and isinstance(
              obj,
              (
                  np.int_,
                  np.intc,
                  np.intp,
                  np.int8,
                  np.int16,
                  np.int32,
                  np.int64,
                  np.uint8,
                  np.uint16,
                  np.uint32,
                  np.uint64,
              ),
          ):
              return int(obj)
          elif np is not None and isinstance(obj, np.bool_):
              return bool(obj)
          elif np is not None and isinstance(
              obj, (np.float_, np.float16, np.float32, np.float64, np.complex_, np.complex64, np.complex128)
          ):
              return float(obj)
          elif k8s is not None and isinstance(obj, (k8s.V1Pod, k8s.V1ResourceRequirements)):
              from airflow.kubernetes.pod_generator import PodGenerator
  
              def safe_get_name(pod):
                  """
                  We're running this in an except block, so we don't want it to
                  fail under any circumstances, e.g. by accessing an attribute that isn't there
                  """
                  try:
                      return pod.metadata.name
                  except Exception:
                      return None
  
              try:
                  return PodGenerator.serialize_pod(obj)
              except Exception:
                  log.warning("JSON encoding failed for pod %s", safe_get_name(obj))
                  log.debug("traceback for pod JSON encode error", exc_info=True)
                  return {}
  
          raise TypeError(f"Object of type '{obj.__class__.__name__}' is not JSON serializable")
  